This paper proposes a panel data approach to modeling the risk premium in the term structure of interest rates. Specifically, we develop a fixed maturity/random time effects model that implies a time-invariant one-factor model. Our approach allows us to disentangle risk premia and unexpected excess returns, which is not possible in the standard time series approach. In addition, small sample bias is alleviated and statistical efficiency improved. Our results allow for interesting inferences about maturity-specific effects in the term structure. First, the expectations hypothesis is soundly rejected for our full data panel of U.S. Treasury securities. Second, a considerable degree of mean reversion is present in the risk premia. Third, our findings shed new light on the magnitude of the slope coefficient in regressions of the yield onto the forward curve.
Download Info
To download:
If you experience problems downloading a file, check if you have the
proper application to
view it first. Information about this may be contained
in the File-Format links below. In case of further problems read
the IDEAS help
page. Note that these files are not on the IDEAS
site. Please be patient as the files may be large.
As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.
Publisher Info
Paper provided by C.E.P.R. Discussion Papers in its series CEPR Discussion Papers with number
2392.
Find related papers by JEL classification: E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Determination of Interest Rates; Term Structure of Interest Rates G12 - Financial Economics - - General Financial Markets - - - Asset Pricing
References listed on IDEAS Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
Cited by: (explanations, Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.)